Domain:

The boundary is currently defined as for Grid 53 but needs to be confirmed by Module M:
The coordinates of the cell centres have the following extent: 21.19º W - 59.20º E and  33.86º N - 70.14º N. The extent of the cell vertices is slightly larger: -21.30º W - 59.32º E and 33.82º N - 70.18º N.
Cave: This extent differs from the DWD Database reference for ICON-EU, which refers to grid 27 (operational).

v1 - 2023

1. CAMS global emission inventories (2000-2020)
   https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-emission-inventories?tab=overview
   TNO’s emissions team has developed its spatially resolved emission inventory at high-resolution for the regional (European) scale widely used by modelers throughout Europe and beyond. The TNO_MACC/CAMS emission inventories are available at high resolution (1/8° x 1/16°, lon-lat, equivalent to around 7x7 km over Europe). The inventory is based to a large extent on the official country emissions as the European countries report these to the EU, the UN Framework Convention on Climate Change and the UNECE Convention on Long-Range Transboundary Air Pollution, applying. The standard emission inventory contains emissions for key air pollutants such as NOx, SO2, NMVOC, NH3, CO and primary particulate matter (PM2.5 and PM10), and greenhouse gases (CO2, CH4).
   For details, please refer to Kuenen et al. (2014).

   The latest emission data have been developed as part of CAMS (Copernicus Atmospheric Monitoring Service).
   Documentation: Anthropogenic and natural emissions
   Details:
   
   

2. CAMS global greenhouse gas inversion
   This data set contains net fluxes at the surface, atmospheric mixing ratios at model levels, and column-mean atmospheric mixing ratios for carbon dioxide (CO2), methane (CH4) and nitrous oxide (N20).
   Natural and anthropogenic surface fluxes of greenhouse gases are key drivers of the evolution of Earth’s climate, so their monitoring is essential. Such information has been used in particular as part of the Assessment Reports of the Intergovernmental Panel on Climate Change (IPCC). Ground-based and satellite remote-sensing observations provide a means to quantifying the net fluxes between the land and ocean on the one hand and the atmosphere on the other hand. This is done through atmospheric inversion, which uses transport models of the atmosphere to link the observed concentrations of CO2, CH4 and N2O to the net fluxes at the Earth's surface. By correctly modelling the winds, vertical diffusion, and convection in the global atmosphere, the observed concentrations of the greenhouse gases are used to infer the surface fluxes for the last few decades. For CH4 and N2O, the flux inversions account also for the chemical loss of these greenhouse gases. The net fluxes include contributions from the natural biospere (e.g., vegetation, wetlands) as well anthropogenic contributions (e.g., fossil fuel emissions, rice fields).
   The data sets for the three species are updated once or twice per year adding the most recent year to the data record, while re-processing the original data record for consistency. This is reflected by the different version numbers. In addition, fluxes for methane are available based on surface air samples only or based on a combination of surface air samples and satellite observations (reflected by an 's' in the version number).
   Details:
   Resolution: 2x3°deg
   Link: https://www.copernicus.eu/en/access-data/copernicus-services-catalogue/cams-global-greenhouse-gas-inversion

3. Forest Fire
   https://ads.atmosphere.copernicus.eu/cdsapp#!/dataset/cams-global-fire-emissions-gfas?tab=overview

4. Inland Waters

   1. External (NON-ITMS Dataset: Methane emissions of rivers (monthly):
      From the Publication Gerard Rocher-Ros et al. 2023 "Global Methane emissions from running waters," (https://doi.org/10.1038/s41586-023-06344-6 ).
      Methane emissions of rivers can be derived as gridded data for yearly and monthly data at 0.25 degrees or approximately 27 km. The Metahe emission is provided in Mega grams of C-CH4 (for each pixel). Based on GRiMeDB: https://essd.copernicus.org/articles/15/2879/2023/essd-15-2879-2023.pdf (1973 - 2021)
      The NetCDF for this dataset is in-kind provided by Module Q&S:
      River methane yearly monthly - Ros et al 2023

   2. External (NON-ITMS Dataset: Methane emission of lakes (daily)
      Johnson, M. S., Matthews, E., Du, J., Genovese, V., & Bastviken, D. (2022). Methane emission from global lakes: New spatiotemporal data and observation-driven modeling of methane dynamics indicate lower emissions. Journal of Geophysical Research: Biogeosciences, 127, e2022JG006793.
      Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions
      Global lake methane - Johnson 2022
      
      

       

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